SRE - MLOps

* 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS.

* Good understanding of Apache SOLR.

* Proficient with Linux administration.

* Knowledge of ML models and LLM.

* Ability to understand tools used by data scientists and experience with software development and test automation

* Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS)

* Experience working with cloud computing and database systems

* Experience building custom integrations between cloud-based systems using APIs

* Experience developing and maintaining ML systems built with open-source tools

* Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes

* Experience developing containers and Kubernetes in cloud computing environments

* Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)

* Ability to translate business needs to technical requirements

* Strong understanding of software testing, benchmarking, and continuous integration

* Exposure to machine learning methodology and best practices

* Good communication skills and ability to work in a team